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Record W2736671565

Programa de rescate de espacios públicos, México

2015· article· es· W2736671565 on OpenAlexaboutno aff
Sara Topelson

Bibliographic record

VenuePlanur-e: territorio, urbanismo, paisaje, sostenibilidad y diseño urbano · 2015
Typearticle
Languagees
FieldEnvironmental Science
TopicMexican Socioeconomic and Environmental Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Sara Topelson de Grinberg, Arquitecta UNAM. Ha incursionado en el diseno, docencia, planeacion urbana, conservacion del patrimonio y publicaciones. De 1996 a 1999 fue la primera mujer Presidenta de la Union Internacional de Arquitectos (UIA). Academica Emerita de la Academia Nacional de Arquitectura. Ha sido merecedora de diversos reconocimientos, entre los que destacan el de Mujer del Ano Mexico 1996, Caballero de la Orden de Artes y Letras del Ministerio de Francia en 1998, Medalla al Merito Academico la Universidad Anahuac por 25 anos de excelencia en la docencia Miembro de Honor de: Instituto Americano de Arquitectos, Real Instituto de Arquitectos de Canada, Inglaterra, Australia, Japon Superior de los Colegios de Arquitectos de Espana, entre otros. De 2001 a 2003 fue Directora de Arquitectura y Conservacion del Patrimonio Artistico Inmueble del INBA, fomentando libros de temas relevantes de arquitectura, y 13 exposiciones en e Museo Nacional de Arquitectura. Subsecretaria de Desarrollo Urbano y Ordenacion del Territorio de la SEDESOL, de 2007 a 2012. Actualmente es Coordinadora de Proyectos en el despacho Grinberg y Topelson Arquitectos. Coordinadora del Centro de Investig Documentacion de la Casa “CIDOC”; publicando anualmente el estudio “Estado Actual de la Vivienda en Mexico” la doceava edicion en 2015.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.242
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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